TPIsoftware
1. Analyze corporate banking data from the Singapore branch to identify patterns, understand operational needs to provide insights and strategies
2. Conduct in-depth data analysis to identify market trends and business patterns that support long-term planning at the Singapore branch
3. Using SQL, perform data queries, analysis, and database management.
4. Proficiently utilize Python for data analysis and machine learning model development.
5. Coordinate cross-team data projects, including preparing materials, tracking progress, and managing risks, with effectively communicating with stakeholders across regions in English.
THE BENEFITS
1. 1–3 years of experience in data analysis, data science, or related fields
2. Proficient in SQL for data querying and processing
3. Skilled in Python for data analysis and machine learning
4. Capable of preparing project presentations and managing project execution
5. Experience in banking, insurance, or corporate finance is a plus (not required)
6. Proficiency in English for cross-regional communication
7. Strong logical thinking and data interpretation skills
8. Excellent cross-functional communication and teamwork
9 .Self-motivated and able to work independently
10. Interest in financial and insurance domains is a plus
English
Nói: Intermediate - Đọc: Intermediate - Viết: Intermediate
Founded in 2005, TPIsoftware is a leading digital transformation software company in Taiwan, renowned for our formidable software development capabilities, modular design, and AI-driven technologies. We provide compliant, dynamic, and reliable state-of-the-art AI-powered software products and solutions.
Our innovative and standardized software processes have not only received several global awards and held seven invention patents but also facilitated the development of various software products with a holistic, modular-designed architecture. We are committed to assisting enterprises in establishing commercial software platforms tailored to their specific needs, empowering them to swiftly respond to market changes and excel in digital transformation.
